Role Overview

The Information Security Analyst will support a wide range of information security, vendor management, procurement, audit, and technical security activities across the business. The role involves working closely with teams such as Legal, Procurement, IT, and Engineering to ensure security best practices are embedded in company processes and supplier relationships.

This position would suit someone with experience in roles such as IT Helpdesk, IT Operations, Risk & Compliance, Internal Audit, or Security Operations who is looking to develop a career in Information Security.

Key Responsibilities:

Commercial Support

• Assist with RFP responses and client security questionnaires.
• Support client annual security audits and due diligence requests.
• Respond to internal and external queries relating to information security controls.
• Review and interpret security-related contractual clauses, including data protection, data retention, and audit requirements.

Procurement & Supplier Due Diligence

• Support the supplier security due diligence process for new vendors.
• Participate in procurement and supplier onboarding discussions.
• Collaborate with teams to ensure suppliers meet company security standards.

Vendor Risk Management

• Maintain annual vendor due diligence reviews and documentation.
• Track supplier inventories and criticality ratings.
• Monitor performance and risk indicators for key suppliers (SLA breaches, downtime, incidents, and news).
• Support projects such as fourth-party risk assessments and information gathering.
• Monitor scope changes in vendor products and services as they become available.
• Work closely with Legal, IT, and Security teams on emerging topics such as AI usage and third-party tools.

IT & Technical Security

• Work with IT and Security teams to research new technologies and integrations.
• Support technical security initiatives and projects.
• Conduct data flow mapping and architecture documentation.
• Assist in evaluating system integrations (for example applications connected to CRM platforms).
  
  

Audit & Compliance

• Support ongoing security and compliance programmes including ISO/IEC 27001 and SOC 2.
• Assist with internal audit activities and control checks.
• Help maintain documentation and evidence required for audits and certifications.

Required Skills:

• Experience working with similar roles, ideally in IT support, security operations, compliance, or internal audit.
• Good understanding of core IT and security concepts such as:
  
  
• Endpoint management
• Identity and access management
• APIs and integrations
  
  
• Ability to work across multiple teams and communicate effectively with both technical and non-technical stakeholders.
• Strong organisational skills and ability to manage projects and documentation.
• Comfortable handling both operational tasks and more complex security projects.
• Ability to build strong internal relationships and collaborate across departments.
• Pragmatic and solution-oriented approach to information security.
• Experience working with or evaluating AI tools and products

Candidates should ideally have:

• A relevant qualification in Information Security, IT, Cybersecurity, or Computer Science, or
• Relevant professional certifications (or working toward them), such as:
• ISO 27001 Lead Implementer / Lead Auditor
• CISA or similar
• Equivalent hands-on experience in IT, security, or audit roles will also be considered.

Nice to Have:

• Experience with security audits or compliance frameworks such as ISO 27001, SOC 2, FedRAMP & ISO 42001
• Familiarity with ticketing or workflow tools such as Jira.
• Exposure to vendor risk management or supplier due diligence.

Benefits:

• Equity as we want you to have a part of what we are building 
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical 
• Budget to set up your home office upon joining
• Annual learning budget to drive your performance and career development
• Comprehensive Private Health Insurance through Advancecare
• Work from anywhere policy up to 90 days during the year
• Team events across the year, from board games in the office to a team building in a different location

About the Role

iCapital is looking for a Assistant Vice President Information Security Engineer to join the Information Security team. This role will establish and manage cloud security programs, build new security architecture, automation, enforce application security processes and continuously find security gaps across iCapital technology. The ideal candidate is an experienced individual contributor and leader who can do research, design and implement security technologies, manage small teams of engineers, and is able to empathize and connect teams cross-functionally.

Responsibilities

• Build and manage Cloud Security Programs for AWS, Azure, and GCP infrastructure, providing continuous monitoring and resolution of all the vulnerabilities in our cloud environment.
• Implement resolutions of security misconfigurations.
• Collaborate with the DevOps team to rethink routine, embrace new best practices, and drive the adoption of technology standards.
• Build automation capabilities to monitor and alert infrastructure for AWS maintenance.
• Evolve, build and continuously test new cloud infrastructure capabilities for secure designs and functions.
• Build processes and automation capabilities for application code security reviews, workflows, and testing in collaboration with developers.
• Assist the SOC in building detection and alert capabilities.
• Develop workflows for SaaS security programs.
• Assist the Risk and Governance teams with policies, procedures, and standards.
• Collaborate with cross-functional teams, including DevOps and Security Engineering, to deliver security projects.

Qualifications

• Experience in Cloud Environment, AWS preferred, for 5-10 years to establish security cloud infrastructure
• AWS Certified Solutions Architect or similar certifications are preferred
• Commitment to staying at the forefront of cloud security trends, emerging threats, and evolving technologies
• Experience with Infrastructure as Code or systems engineering and scripting
• Strong verbal and written communication skills
• Fluent in Portuguese and English
• Able to influence stakeholders
• Able to drive tasks to completion

Employees in this role will work fully remote. Every department has different needs, and some positions will be designated in-office jobs, based on their function.

Benefits

iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO).

For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

iCapital is looking to hire a Vice President to join a Hedge and Private Equity Fund Finance team. This role is hands on with operational responsibility for servicing hedge and private equity fund of fund and access fund vehicles (the “funds”) in conjunction with third-party administrators. This position will manage all fund accounting and financial reporting to investors, including subscriptions and redemptions for hedge funds, capital activity in private equity funds, partner capital statements and annual audited financials.

Responsibilities:

• Work with third party fund administrators on coordination, preparation, review and publication of Fund NAVs, Partner Capital Account Statements, Performance reporting, Capital Calls, Distributions and Hedge Fund Subscription and Redemption processes.
• Review, edit and sign off on capital calls/distributions, monthly/quarterly NAV packages, accrual/fee calculations
• Research and resolve fund accounting, financial, and other issues that may arise
• Liaise with business partners including investor relations and client service groups and provide performance reports and answer questions as they arise
• Manage cash across portfolios; prepare cash forecasting and budgeting reports
• The individual will ensure financial reporting and year end queries for feeder funds on the platform are done in a timely, accurate and efficient manner

Qualifications:

• 6+ years of fund accounting with a focus on Alternative investments (Private Equity or Hedge Funds). Experience with a big 4 audit firm, auditing Private Equity and Hedge Fund vehicles is a plus.
• CPA or Chartered Accountant equivalent certification is a requirement.
• Strong quantitative and analytical skills
• Ability to handle multiple tasks effectively and work within tight deadlines
• Strong team player and detail-oriented
• Strong interpersonal, communication (written and spoken) and organizational skills
• Experience with Investran is a plus
• Working knowledge of Excel
• Confident with strong leadership skills
• Creative thinker
• Self-starter, possessing willingness to learn

Required Education:

Bachelor's/University degree preferably in Accounting or equivalent field.

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office three days, with the flexibility to work remotely two days. Every department has different needs, and some positions will be designated in-office jobs, based on their function.

Benefits:
iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO).

For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re building a new team building to bring the power of Datadog to developers within AI-focused Developer workflows such as AI agents like Cursor, Claude code, GitHub Copilot and Datadog’s native AI agents.

We’re looking for product-minded engineers who are excited about developer tools, SDLC improvements and AI in general to help us quickly define and ship features and tools that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Work on agents, prompts, evals, MCPs and direct agent tools from ideation to productization, for allowing Datadog to help companies and developers to maximize the benefit of their integration with Datadog
• Help conceptualize and build innovative User flows and experiences within Datadog’s user space and different extensions 
• Prototype and see what works well in the real world, iterate closely with our users, and then ship
• Follow the latest research on LLM prompt optimization, agents, and code editing.
• Support other Datadog product teams to help them build and productionize their developer-focused AI Workflows. For example, you’ll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of  “one click to reproduce” for production errors.

Who You Are: 

• You’re a backend engineer with at least 5 years of professional experience who values code simplicity and performance. You’ve shipped software that uses LLMs to production
• You are passionate about Generative AI and its ability to help software engineers be more productive
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution
• You want to work in a fast, high-growth startup environment that respects its engineers and customers
• You have experience writing classic or AI oriented developer tools(such as IDEs, static code analysis, SDLC tools etc).
• You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

At Datadog, we’re on a mission to bring security and observability together for modern organizations. Bits AI for Security is our AI agent that leverages LLMs to help analysts investigate alerts, understand threats, and respond faster. We’re looking for a product-minded AI Engineer to help us build the next generation of AI-driven security capabilities.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with users, security experts, PMs, and data scientists on cutting edge AI agents that drive real value for our customers
• Develop tools, retrieval and planning strategies, and guardrails; manage prompts/evals; design fallbacks and human‑in‑the‑loop paths
• Collaborate with Product, Design, and partner teams to build cohesive experiences
• Prototype and see what works well, iterate closely with our users and experts, and then ship
• Follow the latest research on GenAI and AI agents

Who You Are:

• You have a BS/MS/PhD in Computer Science, Engineering, Artificial Intelligence or a related scientific field or equivalent experience
• You’re a backend engineer with at least 4 years of professional experience (Go, Python, Java, etc.) who values code simplicity and performance
• You have relevant work experience with LLMs, large-scale systems, machine learning, or adjacent fields. You’ve shipped software that uses LLMs to production
• You want to work in a fast, high-growth startup environment that values its engineers
• You are a good communicator and can drive hard technical conversations towards a pragmatic solution
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output

Bonus Point:

• Excited to work in the security domain, with an understanding of how analysts investigate threats and alerts
• Fluency with offline/online evals for AI systems; can build reliable golden sets and automatic regressions
• Experience scaling products in a high-growth SaaS environment
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Your wellbeing, our mission. Join a company shaping a healthier world.

GET TO KNOW US

At Wellhub we're revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleep—all in one simple subscription. Headquartered in NYC with team members in 11 countries, we’re on a mission to make every company a wellness company.

We believe work should be fulfilling, inspiring, and balanced. Here, you’ll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally. 

Join us in redefining the future of wellbeing!

THE OPPORTUNITY

We are hiring a Director of Security Engineering for our Information Security team in Portugal! This is a Remote – Portugal position, meaning you can work from anywhere within the country. Please note that this role is only open to candidates in Brazil. 

The Information Security team is responsible for protecting our subscription-based product serving millions of users. As a Director of Security Engineering, you will be the technical leader driving application security, DevSecOps practices, and security engineering across our 10 product verticals. This is a unique opportunity to build security capabilities in a high-growth environment. You will help construct the technical security strategy, architect security solutions, lead threat modeling, and establish secure development practices across all engineering teams. The role requires deep technical expertise in application security, cloud security, and modern DevSecOps practices.In this capacity, you will serve as the primary architect for our security engineering roadmap, ensuring that protection is integrated at every stage. You will oversee the deployment of automated security tooling, mentor senior engineers in advanced vulnerability research, and partner with product leaders to balance rapid feature delivery with robust risk mitigation. Your leadership will be pivotal in scaling our security posture to meet the demands of a global, multi-vertical ecosystem while fostering a culture of shared security responsibility.

YOUR IMPACT 

• Lead the technical security strategy for product and application security, defining architecture standards, security baselines, and secure coding guidelines aligned with OWASP ASVS, NIST SSDF, and BSIMM frameworks.
• Architect and implement a comprehensive DevSecOps pipeline, integrating SAST, DAST, SCA, and container scanning across all CI/CD pipelines serving 10 product verticals.
• Drive threat modeling practices across critical product flows, partnering with engineering leads to identify and mitigate security risks before they reach production.
• Design and implement a centralized security telemetry architecture, connecting application logs, WAF events, and fraud signals into a unified SIEM platform for real-time detection.
• Lead the technical evaluation, selection, and implementation of security tools (SAST/DAST, SIEM/SOAR, PAM, API Gateway security, container security scanners).
• Establish and mentor a team of 7-8 embedded DevSecOps engineers across product verticals, providing technical guidance and ensuring consistent security standards.
• Own the technical roadmap for reducing MTTD from >48h to <1h and fraud detection from D+1 to real-time through security engineering and automation.
• Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life balance.

WHO YOU ARE 

• A seasoned security engineer with experience in application security, cloud security, or security engineering, with at least 4 years in a senior technical leadership role.
• Deep expertise in secure software development lifecycle (SSDLC), threat modeling (STRIDE, PASTA), and security architecture for distributed systems and microservices.
• Hands-on experience with security tooling: SAST (Checkmarx, Snyk, SonarQube), DAST (Burp Suite, OWASP ZAP), SCA, container scanning (Trivy, Prisma), and SIEM platforms (Elastic, Splunk, Sentinel).
• Extensive knowledge of cloud security (AWS and/or GCP), including IAM, VPC security, secrets management, and container orchestration security (Kubernetes/EKS).
• Experience building and scaling DevSecOps programs, integrating security into CI/CD pipelines, and mentoring engineering teams on secure coding practices.
• Proficiency in at least two programming languages (Python, Go, Java, or JavaScript) with the ability to review code, write security tooling, and automate security workflows.
• Familiarity with compliance frameworks (ISO 27001, PCI DSS, LGPD/GDPR) and how they translate into technical security controls.
• Effective communication skills (Portuguese and English) to translate complex technical security concepts into actionable guidance for engineering teams at all levels.
• We recognize that individuals approach job applications differently. We strongly encourage all aspiring applicants to go for it, even if they don't match the job description 100%.
• For this specific role, please note that prior experience in application security engineering and DevSecOps pipeline implementation is a mandatory requirement.

WHAT WE OFFER YOU

With thoughtful benefits, emotional wellbeing resources, and a culture that empowers you to take ownership of your role and your wellbeing, we create an environment where you can thrive in all dimensions of your life. Our benefits include:

WELLHUB:  Free Gold membership with access to onsite gyms and studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental wellbeing support, and more! Add up to three family members to your plan, ensuring access to wellness for those who matter most to you. 

HEALTHCARE: Health insurance.

FLEXIBLE WORK: As a Flexible First company, we offer hybrid and remote options to give you the freedom to work in a way that suits you. The model for this specific role can be discussed with your recruiter and hiring manager. We offer all employees a one-time reimbursement to set up their home office equipment and a monthly work allowance to help cover the costs of working from home.

FLEXIBLE SCHEDULE:  Flexibility for us isn’t just about where we work—it also means being able to shape how and when we get things done. Together with their leaders, employees define schedules that align with their time zones, team needs, and personal routines.

PAID TIME OFF: We know how important it is to take time away from work to recharge. Employees receive a minimum of 25 days paid holiday per year with an additional day for each year of tenure (up to 5) in addition to annual holidays (including an extra holiday on your birthday!).

PARENTAL LEAVE: Welcoming a new child is one of the most special moments in your life. Take the time to be present and enjoy your growing family. We offer 100% paid parental leave to all new parents. Parents giving birth are eligible for an extended leave and a ramp-back period to return part-time while they get settled.  

CAREER GROWTH: Access world-class platforms, participate in interactive sessions,  build your personalized development roadmap, and explore internal opportunities. We focus on continuous learning and feedback to support your journey toward personal and professional success. 

CULTURE: You’ll join a team of passionate people who come together to break boundaries, support each other, and create a meaningful impact in workplace wellness. We win together, building trust through open communication and a culture where every perspective matters. Learn more about our shared culture and values here. 

And to get a glimpse of life at Wellhub… Follow us on Instagram @lifeatwellhub and LinkedIn!

Diversity, Equity, and Belonging at Wellhub

We aim to create a collaborative, supportive, and inclusive space where everyone knows they belong. At Wellhub, we welcome and celebrate your authentic self.

Wellhub is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

Our commitment to inclusion also extends to how we recognize and reward our people. We’re proud to be Syndio Fair Pay Certified, reflecting our ongoing dedication to equitable and fair pay practices across our global team. Read more about it here.

Questions on how we treat your personal data? See our Aviso de Privacidade para Candidatos. 

#LI-REMOTE

#LI-CM1

The Role

We are hiring a Product Manager - Regulatory Reporting to work within our Enabling Services group, which is responsible for the shared application capabilities that serve multiple products across ComplyAdvantage's platform.

Enabling Services are application functions that are not standalone products but are essential to how those products work: case management, regulatory reporting and transaction processing services. These capabilities are used across multiple product areas and have a direct impact on the end-user experience. The work sits at the intersection of multiple product teams, which makes it both commercially important and organisationally complex.

The Enabling Services group sits within the Platform & Enabling Services tribe. You will work within a dedicated squad alongside an engineering manager and a team of engineers. The Product Manager and Engineering Manager work as peers: you own the product context, the EM owns the technical context. You operate within a framework set by the Product Director, who provides the strategic guidance and prioritisation decisions that shape your work.

We work in six-week blocks with a structured document flow from Plan of Record to PRD to product requirements to implementation, with quality gates at each stage. If you are looking for a role where the planning process is clear and the expectations are explicit, this is a good environment to develop in.

What You Will Do

Provide research, analysis and requirements within your squad's domain. You are responsible for requirements specification, stakeholder communication and documentation within a framework set by the Product Director. Your work ensures the squad has clear direction on what to build and for whom.

Write clear product requirements. Working from PRDs, you will draft product requirements and refine them jointly with your EM. You sign off on product accuracy; the EM signs off on technical completeness. You need enough understanding of application architecture and service design to write requirements that engineers can build from and to have useful conversations about feasibility.

Manage competing inputs from multiple product teams. Enabling Services capabilities serve multiple product areas, each with their own priorities. You will handle incoming requirements at the working level, assessing them, clarifying ambiguities with the requesting teams, and flagging conflicts to the Product Director for resolution. Understanding why different teams want different things, and being able to articulate the trade-offs clearly, is an important part of this role.

Understand the end-user impact. Unlike pure platform work, Enabling Services directly affects what customers see and use. Case management workflows, reporting interfaces, transaction processing: these are visible to compliance teams. You need to think about user outcomes, not just technical requirements.

Liaise with engineering during execution. Ensure your EM has enough lead time and context to make sound technical decisions. Surface changes and risks early. Maintain communication about what is coming, what is blocked and what has changed.

Use AI in your own work. We expect Product Managers to use AI-assisted workflows for research synthesis, requirements drafting and documentation. This is how we work, not something we aspire to.

What We Are Looking For

Essential:

• 3+ years in product management, with exposure to shared services, horizontal capabilities, or application products used by multiple teams or customer segments
• Enough understanding of application architecture, APIs, data schemas and service design to write requirements that engineering can work from and to engage in technical conversations productively.
• Have a platform mindset to develop core components once to scale for new use cases and volume, and avoid spending resources to build replicating capabilities
• Ability to research, design, and build within strict constraints and requirements set by regulatory organisations
• Strong analytical skills: comfortable with data, can synthesise requirements from multiple sources
• Comfortable working within a structured product organisation where strategic direction is set above you. You are not expected to set a strategy; you are expected to execute well within a clear framework.
• Excellent written communication skills, with an obsession with precision and detail: produces clear, accurate requirements and documentation
• Presentation skills: the ability to communicate your product area, its challenges and capabilities to both technical and non-technical audiences
• Familiarity with common product management tools such as Jira, Linear, Confluence, Notion, Miro or equivalent
• Demonstrable AI adoption in your own working practice

Preferred:

• Experience with building automated complex workflows, particularly integrating AI at the core.
• Experience with case management, workflow, regulatory reporting, or search products
• Experience in financial services, compliance, or RegTech
• Experience working on products that serve multiple internal or external customer segments simultaneously
• Interest in developing toward a senior product management career in platform and application services

What Success Looks Like

At 60 days: You understand your squad's domain, the Enabling Services group's priorities, how requirements flow from multiple product areas, and how the operating model works. You have built relationships with your EM, the Product Director, and key stakeholders. You can articulate the priorities in your area and begin to contribute to requirements.

At 4 months: You are writing clear product requirements that pass quality gates. Your EM trusts your product judgment at the working level. You are handling incoming requirements from multiple product teams effectively, flagging conflicts to the PD with a clear description of the trade-offs. Stakeholders experience you as responsive and reliable.

At 8 months: You are a reliable and effective member of the Enabling Services group, producing consistent quality in requirements, documentation, and stakeholder communication. Your squad values your contribution. You have a clear understanding of the broader Platform & Enabling Services strategy and are operating at a level that demonstrates readiness for greater autonomy and scope.

What’s in it for you?

• Equity as we want you to have a part of what we are building. 
• Unlimited Time Off Policy. A work-life balance and focus on our well-being are critical to keeping us performing at our best. 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships.
• ​​Comprehensive Medical Insurance. Your health is our priority; we’ve got you covered.
• You will also get a new starter budget to kit out your home office. 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve. 
• Annual learning budget (prorated based on start date) to drive your performance and career development. 
• We provide everyone with the latest modern laptops and tech stacks to ensure you’re never slowed down by your tools.

The Role

We are hiring a Senior Product Manager to work within our Enabling Services group, which is responsible for the shared application capabilities that serve multiple products across ComplyAdvantage's platform.

Enabling Services are application functions that are not standalone products but are essential to how those products work: case management, regulatory reporting and transaction processing services. These capabilities are used across multiple product areas and have a direct impact on the end-user experience. The work sits at the intersection of multiple product teams, which makes it both commercially important and organisationally complex.

The Enabling Services group sits within the Platform & Enabling Services tribe. You will work within a dedicated squad alongside an engineering manager and a team of engineers. The Product Manager and Engineering Manager work as peers: you own the product context, the EM owns the technical context. You operate within a framework set by the Product Director, who provides the strategic guidance and prioritisation decisions that shape your work.

We work in six-week blocks with a structured document flow from Plan of Record to PRD to product requirements to implementation, with quality gates at each stage. If you are looking for a role where the planning process is clear and the expectations are explicit, this is a good environment to develop in.

What You Will Do

Provide research, analysis and requirements within your squad's domain. You are responsible for requirements specification, stakeholder communication and documentation within a framework set by the Product Director. Your work ensures the squad has clear direction on what to build and for whom.

Write clear product requirements. Working from PRDs, you will draft product requirements and refine them jointly with your EM. You sign off on product accuracy; the EM signs off on technical completeness. You need enough understanding of application architecture and service design to write requirements that engineers can build from and to have useful conversations about feasibility.

Manage competing inputs from multiple product teams. Enabling Services capabilities serve multiple product areas, each with their own priorities. You will handle incoming requirements at the working level, assessing them, clarifying ambiguities with the requesting teams, and flagging conflicts to the Product Director for resolution. Understanding why different teams want different things, and being able to articulate the trade-offs clearly, is an important part of this role.

Understand the end-user impact. Unlike pure platform work, Enabling Services directly affects what customers see and use. Case management workflows, reporting interfaces, transaction processing: these are visible to compliance teams. You need to think about user outcomes, not just technical requirements.

Liaise with engineering during execution. Ensure your EM has enough lead time and context to make sound technical decisions. Surface changes and risks early. Maintain communication about what is coming, what is blocked and what has changed.

Use AI in your own work. We expect Product Managers to use AI-assisted workflows for research synthesis, requirements drafting and documentation. This is how we work, not something we aspire to.

What We Are Looking For

Essential:

• 6+ years in product management, with exposure to shared services, horizontal capabilities, or application products used by multiple teams or customer segments
• Enough understanding of application architecture, APIs and service design to write requirements that engineering can work from and to engage in technical conversations productively
• Strong analytical skills: comfortable with data, can synthesise requirements from multiple sources
• Comfortable working within a structured product organisation where strategic direction is set above you. You are not expected to set strategy; you are expected to execute well within a clear framework
• Excellent written communication skills, with an obsession with precision and detail: produces clear, accurate requirements and documentation
• Presentation skills: the ability to communicate your product area, its challenges and capabilities to both technical and non-technical audiences
• Familiarity with common product management tools such as Jira, Linear, Confluence, Notion, Miro or equivalent
• Prioritisation and decision-making: ability to effectively prioritise and make trade-offs across multiple competing initiatives, balancing business impact, technical constraints, and stakeholder needs.
• Demonstrable AI adoption in your own working practice

Preferred:

• Experience with case management, workflow, regulatory reporting or search products
• Experience in financial services, compliance or RegTech
• Experience working on products that serve multiple internal or external customer segments simultaneously
• Interest in developing toward a senior product management career in platform and application services

What Success Looks Like

At 60 days: You understand your squad's domain, the Enabling Services group's priorities, how requirements flow from multiple product areas, and how the operating model works. You have built relationships with your EM, the Product Director and key stakeholders. You can articulate the priorities in your area and are beginning to contribute to requirements.

At 4 months: You are writing clear product requirements that pass quality gates. Your EM trusts your product judgement at the working level. You are handling incoming requirements from multiple product teams effectively, flagging conflicts to the PD with a clear description of the trade-offs. Stakeholders experience you as responsive and reliable.

At 8 months: You are a reliable and effective member of the Enabling Services group, producing consistent quality in requirements, documentation and stakeholder communication. Your squad values your contribution. You have a clear understanding of the broader Platform & Enabling Services strategy and are operating at a level that demonstrates readiness for greater autonomy and scope.

What’s in it for you?

• Equity as we want you to have a part of what we are building. 
• Unlimited Time Off Policy. A work-life balance and focus on our well-being are critical to keeping us performing at our best. 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships.
• ​​Comprehensive Medical Insurance. Your health is our priority; we’ve got you covered.
• You will also get a new starter budget to kit out your home office. 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve. 
• Annual learning budget (prorated based on start date) to drive your performance and career development. 
• We provide everyone with the latest modern laptops and tech stacks to ensure you’re never slowed down by your tools.

We're a leading SaaS provider revolutionising how fintech companies navigate complex regulatory landscapes. Our platform powers compliance and risk management for hundreds of innovative financial services companies, from emerging startups to established enterprises. We believe in empowering our teams to solve meaningful problems and create exceptional value for our customers.

Role Summary

As a Senior Data Scientist at ComplyAdvantage, you will lead the development and refinement of sophisticated data-driven solutions to detect and prevent financial crime globally. Your core focus is R&D and Strategic Initiatives, where you will spend 80% of your time conducting forward-looking research in ML, NLP, and Agentic AI to create measurable business value over 3-6 month horizons. In addition to driving deep-dive R&D, you will provide expert advisory support and technical leadership to Product and Engineering teams. By leading AI Enablement workstreams, you will empower these departments with the quantitative insights and frameworks necessary to scale high-impact, AI-driven features while mentoring more junior members of the tribe.

Key Responsibilities

• Lead R&D in GenAI and Agentic AI: Design and prototype high-impact, novel solutions for financial crime detection, focusing on multi-agent systems and RAG architectures built on foundational LLM frameworks.
• Drive Production Excellence: Partner with Engineering and Product leadership to architect and oversee the integration of AI components into core product features. You will define the standards for reliability, scalability, and ethical AI performance, ensuring research prototypes transition into robust, production-grade solutions.
• Establish Evaluation Frameworks: Lead the development of robust evaluation methodologies for LLM and agentic AI systems, defining industry-standard metrics for task completion, reasoning accuracy, and system reliability.
• Evaluate Model Context Protocol (MCP): Research applications to connect our AI systems with external data sources and tools, providing strategic recommendations for engineering implementation.
• Strategic Data Insights: Conduct advanced exploratory analysis across multiple data sources to uncover insights that directly influence product development decisions and agent behavior.
• Research & Innovation: Continuously research and evaluate emerging tools and best practices in data science and Agentic AI to keep ComplyAdvantage at the forefront of the field.
• Technical Leadership & Mentoring: Engage across multi-disciplinary teams to share expertise, perform code reviews, and provide career development support to junior data scientists.

Required Qualifications

• MSc or PhD in a numerate subject (e.g., Computer Science, Mathematics, Statistics, Physics) or equivalent practical experience in a data-intensive role.
• 4-7 years of professional experience in data science or machine learning, with a demonstrable impact on production systems.
• Expert-level proficiency in Python, including the core data science ecosystem such as Pandas, NumPy, and Scikit-learn.
• Deep experience with modern ML frameworks (e.g., TensorFlow, PyTorch) for advanced research and prototyping.
• Strong expertise in Agentic AI and LLMs: Advanced knowledge of agentic AI frameworks (e.g., LangChain, Pydantic AI) and experience optimising retrieval systems like RAG.
• Experience with Distributed Computing: Practical knowledge of platforms like Spark or Dask for large-scale data analysis.
• Technical Leadership: Proven track record of leading technical research projects with successful production outcomes and communicating complex concepts to diverse audiences.

Preferred Qualifications

• Experience delivering machine learning solutions and integrating into data pipelines.
• Experience with Natural Language Processing, Entity Resolution, Graph Theory, or Graph Machine Learning.
• Experience working with or evaluating multi-agent systems or complex GenAI workflows.

What Success Looks Like

• In 90 days: You have successfully onboarded, mastered our data landscape, and begun contributing to active research projects while building relationships with key stakeholders.
• In 6 months: You have delivered your first significant research project with measurable impact and established yourself as a technical leader and effective mentor.
• In 12 months: You have led multiple successful R&D initiatives that have shaped our technical roadmap and been recognized as a subject matter expert who empowers other teams.

About Data Science at ComplyAdvantage:
The Data Science tribe discovers and proves out impactful solutions that leverage our Petabyte-scale data infrastructure to neutralise global financial crime. We are responsible for research and development work that drives the "art of the possible" within our product suite. At ComplyAdvantage, we mine the internet for critical data and use it to power a dynamic knowledge graph, which uncovers hidden networks of financial bad actors. From exploring real-time stream processing with Kafka to pioneering the use of the latest LLMs, our modern technology stack allows us to innovate and build prototypes for cutting-edge agentic AI and large-scale algorithmic solutions that empower our clients.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development 

Role Summary

As the Product Manager for Frontend and Design Platform, you sit at the intersection of UX excellence and systems engineering. You don’t just care that a button looks good; you care that the button is a robust, accessible, and reusable component that enables 50+ developers across 10+ different internal apps to build consistent experiences at speed.

In this role, you will own the ComplyAdvantage Frontend and Design (Platform). You’ll be responsible for the "Lego bricks" of our platform, ensuring that whether a developer is building a high-stakes investigation dashboard or a simple settings page, the UI is intuitive, invisible, and efficient. Your work directly empowers our product squads to ship high-quality features faster, while ensuring our users - financial crime analysts - can do their jobs with total trust and zero friction.

Key Responsibilities

• Own the Frontend Platform Roadmap: Define the strategy for our UI component library and frontend patterns, transitioning from "building pages" to "building systems."
• Champion Efficiency & Trust: In the world of B2B compliance, "delight" means speed and accuracy. You will optimize our frontend infrastructure for analyst efficiency rather than flashy B2C animations.
• Drive Deep User Discovery: Regularly sit with internal and external users (analysts and compliance officers) to observe workflows and identify where UI friction hinders financial crime detection.
• Scale Developer Velocity: Define and monitor metrics for component adoption and developer experience (DevEx), ensuring our frontend platform reduces "time-to-market" for feature teams.
• Bridge Design and Engineering: Lead your squad in translating Figma prototypes into production-ready, accessible, and themeable React components (or equivalent).
• Systemic Prioritization: Balance the immediate needs of "Flagship" product squads with the long-term health and coherence of the global design system.
• Responsible for coordinating the design pipeline with Product PRD requirements and processes, ensuring design work is aligned with PRD needs.
• Drive the evolution of the overall UI and UX to meet the changing needs of our Clients in the advent of AI co-pilots and agents. 

Required Qualifications

• 4+ years of Product Management experience, with at least 1–2 years focused on Design Systems, Frontend Platforms, or Internal Developer Tools.
• B2B Experience is Essential: A proven track record of building complex, data-heavy interfaces where utility and trust are the primary goals.
• Systems Thinking: Demonstrated experience with Atomic Design principles and managing shared component libraries.
• Discovery Mastery: Expert in using tools like Pendo, Hotjar, or Figma to conduct research and validate frontend hypotheses.
• Technical Fluency: Ability to discuss APIs, CSS architecture, and frontend performance trade-offs with senior engineers.
• Bachelor’s degree in a relevant field (e.g., Computer Science, HCI, or Design).

About You

• The "Lego" Builder: You think in components, not templates. You get excited about the scalability of a "Text Input" that will be used for the next five years.
• The Empathetic Observer: You enjoy the "detective work" of watching a user struggle with a workflow and finding the systemic UI fix that solves it for everyone.
• B2B over B2C: You understand that our users are professionals doing a high-stakes job. You prefer "invisible" UI that helps them find criminals over "viral" UI features.
• The Bridge: You can speak the language of a UI Designer on Monday and a Frontend Engineer on Tuesday, acting as the glue between aesthetic vision and technical reality.
• Outcome-Driven: You value adoption rates and "time-to-ship" metrics just as much as pixel-perfect execution.

What Success Looks Like

• In 90 days: You’ve audited our existing component library, established a feedback loop with the Design and Engineering chapters, and identified the top three friction points in our current frontend workflow.
• In 6 months: You have delivered a core set of standardized components adopted by at least three major product squads, significantly reducing their frontend development time.
• In 12 months: The ComplyAdvantage Design System is the "source of truth" for all UI. You’ve established a clear contribution model where other teams can add to the system, and you are recognized as the guardian of our platform’s visual and functional consistency.

What’s in it for you?

• Equity as we want you to have a part of what we are building. 
• Unlimited Time Off Policy. A work-life balance and focus on our well-being are critical to keeping us performing at our best. 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships.
• ​​Comprehensive Medical Insurance. Your health is our priority; we’ve got you covered.
• You will also get a new starter budget to kit out your home office. 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve. 
• Annual learning budget (prorated based on start date) to drive your performance and career development. 
• We provide everyone with the latest modern laptops and tech stacks to ensure you’re never slowed down by your tools.

Role Summary

As a Data Scientist at ComplyAdvantage, you will develop and refine data-driven solutions to detect and prevent financial crime globally. Your core focus is R&D and Strategic Initiatives, conducting forward-looking research in ML, NLP, and Agentic AI to create measurable business value. In addition to deep-dive R&D, you will provide advisory support to Product and Engineering teams. By investing in AI Enablement workstreams, you will empower these departments with the quantitative insights and frameworks necessary to scale high-impact, AI-driven features.

Key Responsibilities

• Advance R&D in GenAI and Agentic AI: Develop high-impact prototypes for financial crime detection, leveraging multi-agent systems and RAG architectures built on foundational LLM frameworks.
• Contribute to Core Solutions: Collaborate with Engineering and Product to integrate and optimise AI components and frameworks into existing and new product features, ensuring reliability, scalability, and ethical performance in production.
• Evaluate LLM-based Systems: Contribute to the development and implementation of robust evaluation methodologies for LLM and agentic AI based systems, tracking key metrics related to task completion, reasoning accuracy, tool effectiveness, and overall reliability.
• Evaluate Model Context Protocol (MCP) applications: Connect our AI systems with external data sources and tools and provide recommendations for engineering implementation
• Data Understanding: Develop a solid understanding of our existing data sources, identifying challenges and suggesting potential improvements.
• Data Analysis: Use exploratory data analysis and data mining techniques to identify actionable insights for product improvement, including patterns that can inform and refine agent behavior and prompt engineering strategies.
• Research & Innovation: Continuously research and evaluate emerging tools, technologies, and best practices in data science, especially within the rapidly evolving field of Agentic AI, to keep ComplyAdvantage at the forefront.
• Cross-Functional Collaboration: Engage effectively with multi-disciplinary teams to actively share best practices, expertise and inspire innovation to foster an AI-first culture across the organization.
• Visualization & Roadmapping: Provide clear data insights and visualizations that will act as a basis for new ideas to be integrated into our product roadmap.

Required Qualifications

• MSc or PhD in a numerate subject (e.g., Computer Science, Mathematics, Statistics, Physics) or equivalent practical experience in a data-intensive role.
• 2-4 years of professional experience in data science or a related field, with a demonstrated ability to contribute to impactful data-driven solutions.
• Proficiency in Python, including experience with core data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Hands-on experience with modern machine learning frameworks such as TensorFlow or PyTorch.
• Familiarity with the foundational concepts of agentic AI and large language models (LLMs). This can be professional or through personal research.
• Basic understanding of popular agentic AI frameworks (e.g., LangChain, Pydantic AI).
• Knowledge of general evaluation techniques for AI models and an eagerness to learn and apply methods specific to agentic systems.
• Ability to communicate complex technical concepts effectively to a variety of stakeholders.
• Strong passion for data and solving challenging real-world problems using algorithms.

Preferred Qualifications

• Prior experience contributing to the deployment and integration of machine learning models into production data pipelines.
• Exposure to Big Data platforms such as Spark.
• Experience with Natural Language Processing, Entity Resolution, Graph Theory, or Graph Machine Learning.
• Experience working with or evaluating multi-agent systems or complex AI workflows.

What Success Looks Like

• In 90 days: You have successfully onboarded, gaining a clear understanding of our data landscape and current AI frameworks. You are actively contributing to R&D experiments and have established collaborative working relationships with peers in Engineering and Product.
• In 6 months: You have delivered your first significant R&D prototype or technical evaluation. You have begun contributing to our AI Enablement workstreams, perhaps by authoring a technical blog post or internal guide that translates your research findings into actionable knowledge for the wider team.
• In 12 months: You have completed multiple R&D initiatives that have shaped our technical roadmap. You are recognized for empowering other teams through your advisory support and quantitative expertise, consistently providing the "AI-first" insights that help Engineering and Product teams scale high-impact features.

About Data Science at ComplyAdvantage:
The Data Science tribe discovers and proves out impactful solutions that leverage our Petabyte-scale data infrastructure to neutralise global financial crime. We are responsible for research and development work that drives the "art of the possible" within our product suite. At ComplyAdvantage, we mine the internet for critical data and use it to power a dynamic knowledge graph, which uncovers hidden networks of financial bad actors. From exploring real-time stream processing with Kafka to pioneering the use of the latest LLMs, our modern technology stack allows us to innovate and build prototypes for cutting-edge agentic AI and large-scale algorithmic solutions that empower our clients.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development 

The role

Fraud prevention is an ever-evolving puzzle, making it one of the most rewarding and impactful areas in fintech. At GoCardless, our Fraud Prevention team develops the intelligent systems that protect our platform, our merchants, and their customers.

As a Senior Data Scientist, you will guide the design and delivery of models that operate in real time across our global payment network. You’ll work at the intersection of machine learning, graph-based detection, and behavioural modelling to stay ahead of changing patterns turning research into production systems that make a tangible difference in the fight against financial crime.

You’ll collaborate closely with Engineers, Fraud Analysts, and Product Managers to help shape the technical roadmap as we expand into new markets. Our stack is centred around Google Cloud Platform and Vertex AI, using Python, SQL, and BigQuery to build and support high-performance models at scale.

What you'll do

• Contribute to the full model lifecycle, from initial discovery and feature engineering through to production, experimentation, and continuous monitoring.
• Design and refine real-time ML systems that reduce false positives and ensure a smooth, secure experience for legitimate customers.
• Foster a responsive feedback loop, adapting models as patterns evolve to ensure our defences remain robust and effective.
• Help shape the technical direction of fraud prevention ML at GoCardless, exploring new approaches as we grow globally.
• Support the team’s growth through technical mentorship, knowledge sharing, and a commitment to high-quality code.

What excites you

• Solving complex, dynamic problems: Developing systems that can adapt and respond to changing environments.
• End-to-end ownership: Seeing a project through from a conceptual business need to a live, impactful solution.
• Strategic influence: Contributing to the ML roadmap and helping determine what we build next, rather than just how we build it.
• Holistic Data Science: Engaging in deep-dive analysis, prototyping, and live experimentation.
• Modern Infrastructure: Building production-grade models on GCP and Vertex AI, with the flexibility to explore advanced architectures.

What excites us

• You hold a degree (or PhD) in a STEM discipline, or bring equivalent depth through commercial experience.
• You have hands-on experience with modelling approaches such as deep learning, graph-based methods, or sequence models. While fintech experience is great, we value transferable skills from fields like cybersecurity or risk modelling.
• You have a track record of deploying models in production that create measurable value.
• You can translate complex ML concepts into clear, practical solutions for stakeholders across the business.
• You enjoy writing clean code and helping the team thrive through thoughtful reviews and shared learning.

The role

Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention.

As a Senior Data Scientist within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network.

At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale.

What you’ll do

• Lead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring.
• Collaborate with product and engineering peers to turn complex data into real-time, mission-critical fraud prevention solutions.
• Raise the team’s collective bar through hands-on technical leadership and knowledge sharing.
• Proactively research and integrate latest developments in ML and payer fraud prevention to drive innovation at GoCardless.

What excites you

• Being a self-starter who thrives on taking a vague business problem and owning the journey from the first prototype to a live, measurable solution.
• An opportunity to introduce and scale advanced architectures to solve high-stakes fraud and payment challenges.
• Moving beyond execution to help define the technical roadmap for Payer Fraud Prevention, ensuring we leverage the best tools for the job.
• Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation.

What excites us

• You hold a degree (or PhD) in a STEM discipline or an equivalent commercial experience.
• You bring hands-on experience with sophisticated architectures, such as deep learning, graph-based, or sequence-based models (experience in Fintech, Fraud Prevention, or Payments is a big plus).
• You can translate complex ML concepts into practical product solutions and communicate these ideas clearly to non-technical peers.
• You are comfortable owning the full lifecycle, from deep-dive analysis and feature engineering to prototyping, validation, and live A/B testing.
• You lead by example, writing clean, high-quality code and raising the team’s technical bar through knowledge sharing and code best practices.

The role

Fraud prevention is an ever-evolving puzzle, making it one of the most rewarding and impactful areas in fintech. At GoCardless, our Fraud Prevention team develops the intelligent systems that protect our platform, our merchants, and their customers.

As a Senior Data Scientist, you will guide the design and delivery of models that operate in real time across our global payment network. You’ll work at the intersection of machine learning, graph-based detection, and behavioural modelling to stay ahead of changing patterns turning research into production systems that make a tangible difference in the fight against financial crime.

You’ll collaborate closely with Engineers, Fraud Analysts, and Product Managers to help shape the technical roadmap as we expand into new markets. Our stack is centred around Google Cloud Platform and Vertex AI, using Python, SQL, and BigQuery to build and support high-performance models at scale.

What you'll do

• Contribute to the full model lifecycle, from initial discovery and feature engineering through to production, experimentation, and continuous monitoring.
• Design and refine real-time ML systems that reduce false positives and ensure a smooth, secure experience for legitimate customers.
• Foster a responsive feedback loop, adapting models as patterns evolve to ensure our defences remain robust and effective.
• Help shape the technical direction of fraud prevention ML at GoCardless, exploring new approaches as we grow globally.
• Support the team’s growth through technical mentorship, knowledge sharing, and a commitment to high-quality code.

What excites you

• Solving complex, dynamic problems: Developing systems that can adapt and respond to changing environments.
• End-to-end ownership: Seeing a project through from a conceptual business need to a live, impactful solution.
• Strategic influence: Contributing to the ML roadmap and helping determine what we build next, rather than just how we build it.
• Holistic Data Science: Engaging in deep-dive analysis, prototyping, and live experimentation.
• Modern Infrastructure: Building production-grade models on GCP and Vertex AI, with the flexibility to explore advanced architectures.

What excites us

• You hold a degree (or PhD) in a STEM discipline, or bring equivalent depth through commercial experience.

• You have hands-on experience with modelling approaches such as deep learning, graph-based methods, or sequence models. While fintech experience is great, we value transferable skills from fields like cybersecurity or risk modelling.
• You have a track record of deploying models in production that create measurable value.
• You can translate complex ML concepts into clear, practical solutions for stakeholders across the business.
• You enjoy writing clean code and helping the team thrive through thoughtful reviews and shared learning.

Base salary range: €64,000 - €96,000

Base salary ranges are based on role, job level, location, and market data.  Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

The role

Fraud prevention is an ever-evolving puzzle, making it one of the most rewarding and impactful areas in fintech. At GoCardless, our Fraud Prevention team develops the intelligent systems that protect our platform, our merchants, and their customers.

As a Senior Data Scientist, you will guide the design and delivery of models that operate in real time across our global payment network. You’ll work at the intersection of machine learning, graph-based detection, and behavioural modelling to stay ahead of changing patterns turning research into production systems that make a tangible difference in the fight against financial crime.

You’ll collaborate closely with Engineers, Fraud Analysts, and Product Managers to help shape the technical roadmap as we expand into new markets. Our stack is centred around Google Cloud Platform and Vertex AI, using Python, SQL, and BigQuery to build and support high-performance models at scale.

What you'll do

• Contribute to the full model lifecycle, from initial discovery and feature engineering through to production, experimentation, and continuous monitoring.
• Design and refine real-time ML systems that reduce false positives and ensure a smooth, secure experience for legitimate customers.
• Foster a responsive feedback loop, adapting models as patterns evolve to ensure our defences remain robust and effective.
• Help shape the technical direction of fraud prevention ML at GoCardless, exploring new approaches as we grow globally.
• Support the team’s growth through technical mentorship, knowledge sharing, and a commitment to high-quality code.

What excites you

• Solving complex, dynamic problems: Developing systems that can adapt and respond to changing environments.
• End-to-end ownership: Seeing a project through from a conceptual business need to a live, impactful solution.
• Strategic influence: Contributing to the ML roadmap and helping determine what we build next, rather than just how we build it.
• Holistic Data Science: Engaging in deep-dive analysis, prototyping, and live experimentation.
• Modern Infrastructure: Building production-grade models on GCP and Vertex AI, with the flexibility to explore advanced architectures.

What excites us

• You hold a degree (or PhD) in a STEM discipline, or bring equivalent depth through commercial experience.

• You have hands-on experience with modelling approaches such as deep learning, graph-based methods, or sequence models. While fintech experience is great, we value transferable skills from fields like cybersecurity or risk modelling.
• You have a track record of deploying models in production that create measurable value.
• You can translate complex ML concepts into clear, practical solutions for stakeholders across the business.
• You enjoy writing clean code and helping the team thrive through thoughtful reviews and shared learning.

Base salary range: £99,200 - £148,800

Base salary ranges are based on role, job level, location, and market data.  Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

The role

Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention.

As a Senior Data Scientist within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network.

At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale.

What you’ll do

• Lead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring.
• Collaborate with product and engineering peers to turn complex data into real-time, mission-critical fraud prevention solutions.
• Raise the team’s collective bar through hands-on technical leadership and knowledge sharing.
• Proactively research and integrate latest developments in ML and payer fraud prevention to drive innovation at GoCardless.

What excites you

• Being a self-starter who thrives on taking a vague business problem and owning the journey from the first prototype to a live, measurable solution.
• An opportunity to introduce and scale advanced architectures to solve high-stakes fraud and payment challenges.
• Moving beyond execution to help define the technical roadmap for Payer Fraud Prevention, ensuring we leverage the best tools for the job.
• Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation.

What excites us

• You hold a degree (or PhD) in a STEM discipline or an equivalent commercial experience.
• You bring hands-on experience with sophisticated architectures, such as deep learning, graph-based, or sequence-based models (experience in Fintech, Fraud Prevention, or Payments is a big plus).
• You can translate complex ML concepts into practical product solutions and communicate these ideas clearly to non-technical peers.
• You are comfortable owning the full lifecycle, from deep-dive analysis and feature engineering to prototyping, validation, and live A/B testing.
• You lead by example, writing clean, high-quality code and raising the team’s technical bar through knowledge sharing and code best practices.

Base salary range: €64,000 - €96,000

Base salary ranges are based on role, job level, location, and market data.  Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

The role

Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention.

As a Senior Data Scientist within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network.

At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale.

What you’ll do

• Lead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring.
• Collaborate with product and engineering peers to turn complex data into real-time, mission-critical fraud prevention solutions.
• Raise the team’s collective bar through hands-on technical leadership and knowledge sharing.
• Proactively research and integrate latest developments in ML and payer fraud prevention to drive innovation at GoCardless.

What excites you

• Being a self-starter who thrives on taking a vague business problem and owning the journey from the first prototype to a live, measurable solution.
• An opportunity to introduce and scale advanced architectures to solve high-stakes fraud and payment challenges.
• Moving beyond execution to help define the technical roadmap for Payer Fraud Prevention, ensuring we leverage the best tools for the job.
• Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation.

What excites us

• You hold a degree (or PhD) in a STEM discipline or an equivalent commercial experience.
• You bring hands-on experience with sophisticated architectures, such as deep learning, graph-based, or sequence-based models (experience in Fintech, Fraud Prevention, or Payments is a big plus).
• You can translate complex ML concepts into practical product solutions and communicate these ideas clearly to non-technical peers.
• You are comfortable owning the full lifecycle, from deep-dive analysis and feature engineering to prototyping, validation, and live A/B testing.
• You lead by example, writing clean, high-quality code and raising the team’s technical bar through knowledge sharing and code best practices.

Base salary range: £99,200 - £148,800

Base salary ranges are based on role, job level, location, and market data.  Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.